Research trends in Sentiment Analysis and Opinion Mining from Knowledge Management approach: A science mapping from 2007 to 2020

Casas-Valadez, Mariano Alberto and Faz-Mendoza, Alberto and Medina-Rodriguez, Cesar Esau and Castañeda-Miranda, Rodrigo and Gamboa-Rosales, Nadia Karina and López-Robles, José Ricardo Research trends in Sentiment Analysis and Opinion Mining from Knowledge Management approach: A science mapping from 2007 to 2020., 2020 . In 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), Bahrain (online), 20-21 December 2020. (Unpublished) [Conference paper]

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English abstract

The internationalization of markets and the increasing intensification of competition, forces managers of organizations or companies to make precise decisions in the shortest possible time. When the organization promotes the exchange of knowledge, it is oriented towards the sustained improvement of processes and internal communication. In the same way, relations with the outside environment improve: customers and suppliers. The birth of the Internet and later of social networks led to public ideas, debates and opinions; which constitute an interesting source to detect opinion trends among users. This complex data analysis is carried out by different disciplines of artificial intelligence with the implementation of algorithms. One of those disciplines is the Analysis of Feelings, which through an opinion, emotion or attitude that is mainly inferred from a text, analyzes and classifies them. The approach of these methodologies assumes the interest of this work for the extraction of information that allows its later use in the decision-making of organizations. Finally, to learn more about its evolution, trends, research areas, authors and publications, a Bibliometric Analysis was applied from 2007 to date on Sentiment Analysis and Opinion Mining from Knowledge Management.

Item type: Conference paper
Keywords: Information Systems; Technology's Impacts on Society; Knowledge Management
Subjects: F. Management.
G. Industry, profession and education.
Depositing user: J.R. López-Robles
Date deposited: 19 Feb 2021 23:34
Last modified: 19 Feb 2021 23:34
URI: http://hdl.handle.net/10760/41778

References

DC. Olszak, and A. Kisiołek, "Big Data for Customer Knowledge Management." pp. 244-253.

A. M. Abubakar, H. Elrehail, M. A. Alatailat, and A. Elçi, “Knowledge management, decision-making style and organizational performance,” Journal of Innovation & Knowledge, vol. 4, no. 2, pp. 104-114, 2019.

Z. Nedelko, and S. Jevšenak, "Strategies and tools for knowledge management in innovation and the future industry," The role of knowledge transfer in open innovation, pp. 179-202: IGI Global, 2019.

J. R. López-Robles, J. R. Otegi-Olaso, N. K. Gamboa-Rosales, H. Gamboa-Rosales, and M. J. Cobo, "60 Years of Business Intelligence: A Bibliometric Review from 1958 to 2017." p. 395, 2018.

J. R. López-Robles, J. R. Otegi-Olaso, I. Porto-Gómez, and M. J. Cobo, “30 years of intelligence models in management and business: A bibliometric review,” International Journal of Information Management, vol. 48, pp. 22-38, 2019.

B. Liu, Sentiment analysis: Mining opinions, sentiments, and emotions: Cambridge university press, 2020.

L. Yue, W. Chen, X. Li, W. Zuo, and M. Yin, “A survey of sentiment analysis in social media,” Knowledge and Information Systems, pp. 1-47, 2019.

W. Souma, I. Vodenska, and H. Aoyama, “Enhanced news sentiment analysis using deep learning methods,” Journal of Computational Social Science, vol. 2, no. 1, pp. 33-46, 2019.

J. R. López-Robles, J. R. Otegi-Olaso, I. Porto-Gómez, H. Gamboa-Rosales, and N. K. Gamboa-Rosales, “Understanding the intellectual structure and evolution of Competitive Intelligence: a bibliometric analysis from 1984 to 2017,” Technology Analysis & Strategic Management, pp. 1-16, 2019.

J. R. López-Robles, M. Rodríguez-Salvador, N. K. Gamboa-Rosales, S. Ramirez-Rosales, and M. J. Cobo, “The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis,” Procedia Computer Science, vol. 162, pp. 729-736, 2019.

O. Habimana, Y. Li, R. Li, X. Gu, and G. Yu, “Sentiment analysis using deep learning approaches: an overview,” Science China Information Sciences, vol. 63, no. 1, pp. 1-36, 2020.

A. Capatina, M. Kachour, J. Lichy, A. Micu, A.-E. Micu, and F. Codignola, “Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations,” Technological Forecasting and Social Change, vol. 151, pp. 119794, 2020.

A. Picasso, S. Merello, Y. Ma, L. Oneto, and E. Cambria, “Technical analysis and sentiment embeddings for market trend prediction,” Expert Systems with Applications, vol. 135, pp. 60-70, 2019.

A. Mudinas, D. Zhang, and M. Levene, “Market trend prediction using sentiment analysis: lessons learned and paths forward,” arXiv preprint arXiv:1903.05440, 2019.

N. K. Singh, D. S. Tomar, and A. K. Sangaiah, “Sentiment analysis: a review and comparative analysis over social media,” Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 1, pp. 97-117, 2020.

P. Sánchez-Núñez, M. J. Cobo, C. De Las Heras-Pedrosa, J. I. Peláez, and E. Herrera-Viedma, “Opinion Mining, Sentiment Analysis and Emotion Understanding in Advertising: A Bibliometric Analysis,” IEEE Access, vol. 8, pp. 134563-134576, 2020.

J. R. López-Robles, J. R. Otegi-Olaso, and I. Porto-Gómez, “Bibliometric analysis of worldwide scientific literature in Project Management Techniques and Tools over the past 50 years: 1967-2017,” Research and Education in Project Management (Bilbao, 2018), pp. 49, 2018.

J. R. López-Robles, J. R. Otegi-Olaso, H. Robles-Berumen, H. Gamboa-Rosales, A. Gamboa-Rosales, and N. K. Gamboa-Rosales, “Visualizing and mapping the project management research areas within the International Journal of Project Management: A bibliometric analysis from 1983 to 2018,” in Research and Education in Project Management - REPM 2019, Bilbao (Spain), 2019.


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